Dataset statistics
| Number of variables | 10 |
|---|---|
| Number of observations | 741 |
| Missing cells | 2026 |
| Missing cells (%) | 27.3% |
| Duplicate rows | 0 |
| Duplicate rows (%) | 0.0% |
| Total size in memory | 58.0 KiB |
| Average record size in memory | 80.2 B |
Variable types
| Categorical | 1 |
|---|---|
| Numeric | 9 |
ne_imp_gnfs_kn is highly correlated with bx_gsr_gnfs_cd and 1 other fields | High correlation |
bx_gsr_gnfs_cd is highly correlated with ne_imp_gnfs_kn and 2 other fields | High correlation |
ny_gdp_mktp_cd is highly correlated with ne_imp_gnfs_kn and 2 other fields | High correlation |
sp_ado_tfrt is highly correlated with sp_dyn_le00_fe_in and 1 other fields | High correlation |
sl_tlf_0714_zs is highly correlated with bx_gsr_gnfs_cd and 1 other fields | High correlation |
sp_dyn_le00_fe_in is highly correlated with sp_ado_tfrt and 1 other fields | High correlation |
sp_dyn_le00_ma_in is highly correlated with sp_ado_tfrt and 1 other fields | High correlation |
bx_gsr_gnfs_cd is highly correlated with ny_gdp_mktp_cd | High correlation |
ny_gdp_mktp_cd is highly correlated with bx_gsr_gnfs_cd | High correlation |
sp_ado_tfrt is highly correlated with sp_dyn_le00_fe_in and 1 other fields | High correlation |
sp_dyn_le00_fe_in is highly correlated with sp_ado_tfrt and 1 other fields | High correlation |
sp_dyn_le00_ma_in is highly correlated with sp_ado_tfrt and 1 other fields | High correlation |
ne_imp_gnfs_kn is highly correlated with ny_gdp_mktp_cd | High correlation |
bx_gsr_gnfs_cd is highly correlated with ny_gdp_mktp_cd | High correlation |
ny_gdp_mktp_cd is highly correlated with ne_imp_gnfs_kn and 1 other fields | High correlation |
sp_dyn_le00_fe_in is highly correlated with sp_dyn_le00_ma_in | High correlation |
sp_dyn_le00_ma_in is highly correlated with sp_dyn_le00_fe_in | High correlation |
economy is highly correlated with si_pov_gini and 7 other fields | High correlation |
time is highly correlated with sl_tlf_0714_zs | High correlation |
si_pov_gini is highly correlated with economy and 3 other fields | High correlation |
ne_imp_gnfs_kn is highly correlated with economy | High correlation |
bx_gsr_gnfs_cd is highly correlated with economy and 4 other fields | High correlation |
ny_gdp_mktp_cd is highly correlated with economy and 1 other fields | High correlation |
sp_ado_tfrt is highly correlated with economy and 4 other fields | High correlation |
sl_tlf_0714_zs is highly correlated with economy and 1 other fields | High correlation |
sp_dyn_le00_fe_in is highly correlated with economy and 4 other fields | High correlation |
sp_dyn_le00_ma_in is highly correlated with economy and 4 other fields | High correlation |
si_pov_gini has 613 (82.7%) missing values | Missing |
ne_imp_gnfs_kn has 249 (33.6%) missing values | Missing |
bx_gsr_gnfs_cd has 135 (18.2%) missing values | Missing |
ny_gdp_mktp_cd has 43 (5.8%) missing values | Missing |
sp_ado_tfrt has 95 (12.8%) missing values | Missing |
sl_tlf_0714_zs has 707 (95.4%) missing values | Missing |
sp_dyn_le00_fe_in has 92 (12.4%) missing values | Missing |
sp_dyn_le00_ma_in has 92 (12.4%) missing values | Missing |
economy is uniformly distributed | Uniform |
Reproduction
| Analysis started | 2022-01-23 16:30:36.587832 |
|---|---|
| Analysis finished | 2022-01-23 16:30:47.482583 |
| Duration | 10.89 seconds |
| Software version | pandas-profiling v3.1.0 |
| Download configuration | config.json |
| Distinct | 39 |
|---|---|
| Distinct (%) | 5.3% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 5.9 KiB |
| ASM | 19 |
|---|---|
| PYF | 19 |
| MYS | 19 |
| NCL | 19 |
| NPL | 19 |
| Other values (34) |
Length
| Max length | 3 |
|---|---|
| Median length | 3 |
| Mean length | 3 |
| Min length | 3 |
Characters and Unicode
| Total characters | 0 |
|---|---|
| Distinct characters | 0 |
| Distinct categories | 0 ? |
| Distinct scripts | 0 ? |
| Distinct blocks | 0 ? |
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
| Unique | 0 ? |
|---|---|
| Unique (%) | 0.0% |
Sample
| 1st row | ASM |
|---|---|
| 2nd row | ASM |
| 3rd row | ASM |
| 4th row | ASM |
| 5th row | ASM |
Common Values
| Value | Count | Frequency (%) |
| ASM | 19 | 2.6% |
| PYF | 19 | 2.6% |
| MYS | 19 | 2.6% |
| NCL | 19 | 2.6% |
| NPL | 19 | 2.6% |
| PHL | 19 | 2.6% |
| PLW | 19 | 2.6% |
| PNG | 19 | 2.6% |
| PRK | 19 | 2.6% |
| SGP | 19 | 2.6% |
| Other values (29) | 551 |
Length
Histogram of lengths of the category
| Value | Count | Frequency (%) |
| asm | 19 | 2.6% |
| ind | 19 | 2.6% |
| brn | 19 | 2.6% |
| btn | 19 | 2.6% |
| chn | 19 | 2.6% |
| fji | 19 | 2.6% |
| fsm | 19 | 2.6% |
| gum | 19 | 2.6% |
| hkg | 19 | 2.6% |
| mdv | 19 | 2.6% |
| Other values (29) | 551 |
Most occurring characters
| Value | Count | Frequency (%) |
| No values found. | ||
Most occurring categories
| Value | Count | Frequency (%) |
| No values found. | ||
Most frequent character per category
Most occurring scripts
| Value | Count | Frequency (%) |
| No values found. | ||
Most frequent character per script
Most occurring blocks
| Value | Count | Frequency (%) |
| No values found. | ||
Most frequent character per block
| Distinct | 19 |
|---|---|
| Distinct (%) | 2.6% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 2009 |
| Minimum | 2000 |
|---|---|
| Maximum | 2018 |
| Zeros | 0 |
| Zeros (%) | 0.0% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 5.9 KiB |
Quantile statistics
| Minimum | 2000 |
|---|---|
| 5-th percentile | 2000 |
| Q1 | 2004 |
| median | 2009 |
| Q3 | 2014 |
| 95-th percentile | 2018 |
| Maximum | 2018 |
| Range | 18 |
| Interquartile range (IQR) | 10 |
Descriptive statistics
| Standard deviation | 5.480925154 |
|---|---|
| Coefficient of variation (CV) | 0.002728185741 |
| Kurtosis | -1.20670747 |
| Mean | 2009 |
| Median Absolute Deviation (MAD) | 5 |
| Skewness | 0 |
| Sum | 1488669 |
| Variance | 30.04054054 |
| Monotonicity | Not monotonic |
Histogram with fixed size bins (bins=19)
| Value | Count | Frequency (%) |
| 2000 | 39 | 5.3% |
| 2010 | 39 | 5.3% |
| 2017 | 39 | 5.3% |
| 2016 | 39 | 5.3% |
| 2015 | 39 | 5.3% |
| 2014 | 39 | 5.3% |
| 2013 | 39 | 5.3% |
| 2012 | 39 | 5.3% |
| 2011 | 39 | 5.3% |
| 2009 | 39 | 5.3% |
| Other values (9) | 351 |
| Value | Count | Frequency (%) |
| 2000 | 39 | |
| 2001 | 39 | |
| 2002 | 39 | |
| 2003 | 39 | |
| 2004 | 39 | |
| 2005 | 39 | |
| 2006 | 39 | |
| 2007 | 39 | |
| 2008 | 39 | |
| 2009 | 39 |
| Value | Count | Frequency (%) |
| 2018 | 39 | |
| 2017 | 39 | |
| 2016 | 39 | |
| 2015 | 39 | |
| 2014 | 39 | |
| 2013 | 39 | |
| 2012 | 39 | |
| 2011 | 39 | |
| 2010 | 39 | |
| 2009 | 39 |
| Distinct | 94 |
|---|---|
| Distinct (%) | 73.4% |
| Missing | 613 |
| Missing (%) | 82.7% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 37.7125 |
| Minimum | 27.8 |
|---|---|
| Maximum | 47.7 |
| Zeros | 0 |
| Zeros (%) | 0.0% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 5.9 KiB |
Quantile statistics
| Minimum | 27.8 |
|---|---|
| 5-th percentile | 31.335 |
| Q1 | 35.025 |
| median | 37.75 |
| Q3 | 40.325 |
| 95-th percentile | 45.89 |
| Maximum | 47.7 |
| Range | 19.9 |
| Interquartile range (IQR) | 5.3 |
Descriptive statistics
| Standard deviation | 4.36527096 |
|---|---|
| Coefficient of variation (CV) | 0.1157513015 |
| Kurtosis | -0.3792954981 |
| Mean | 37.7125 |
| Median Absolute Deviation (MAD) | 2.65 |
| Skewness | 0.09461920787 |
| Sum | 4827.2 |
| Variance | 19.05559055 |
| Monotonicity | Not monotonic |
Histogram with fixed size bins (bins=50)
| Value | Count | Frequency (%) |
| 39.7 | 5 | 0.7% |
| 38.1 | 4 | 0.5% |
| 35.7 | 3 | 0.4% |
| 39.3 | 3 | 0.4% |
| 37 | 3 | 0.4% |
| 32.3 | 2 | 0.3% |
| 36.4 | 2 | 0.3% |
| 39.4 | 2 | 0.3% |
| 37.8 | 2 | 0.3% |
| 35.4 | 2 | 0.3% |
| Other values (84) | 100 | 13.5% |
| (Missing) | 613 |
| Value | Count | Frequency (%) |
| 27.8 | 1 | |
| 28.6 | 1 | |
| 28.7 | 1 | |
| 29 | 1 | |
| 30.7 | 1 | |
| 31.2 | 1 | |
| 31.3 | 1 | |
| 31.4 | 1 | |
| 31.6 | 1 | |
| 31.7 | 2 |
| Value | Count | Frequency (%) |
| 47.7 | 1 | |
| 47.2 | 1 | |
| 46.6 | 1 | |
| 46.5 | 1 | |
| 46.4 | 1 | |
| 46.3 | 1 | |
| 46.1 | 1 | |
| 45.5 | 1 | |
| 44.8 | 1 | |
| 44.6 | 1 |
| Distinct | 491 |
|---|---|
| Distinct (%) | 99.8% |
| Missing | 249 |
| Missing (%) | 33.6% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 1.52152412 × 1014 |
| Minimum | -6.2044893 × 1010 |
|---|---|
| Maximum | 4.696315 × 1015 |
| Zeros | 0 |
| Zeros (%) | 0.0% |
| Negative | 1 |
| Negative (%) | 0.1% |
| Memory size | 5.9 KiB |
Quantile statistics
| Minimum | -6.2044893 × 1010 |
|---|---|
| 5-th percentile | 198602500 |
| Q1 | 3755466700 |
| median | 5.2195769 × 1011 |
| Q3 | 7.54778135 × 1012 |
| 95-th percentile | 1.228832715 × 1015 |
| Maximum | 4.696315 × 1015 |
| Range | 4.696377045 × 1015 |
| Interquartile range (IQR) | 7.544025883 × 1012 |
Descriptive statistics
| Standard deviation | 5.227785841 × 1014 |
|---|---|
| Coefficient of variation (CV) | 3.43588759 |
| Kurtosis | 26.99295494 |
| Mean | 1.52152412 × 1014 |
| Median Absolute Deviation (MAD) | 5.215141894 × 1011 |
| Skewness | 4.747739754 |
| Sum | 7.485898669 × 1016 |
| Variance | 2.73297448 × 1029 |
| Monotonicity | Not monotonic |
Histogram with fixed size bins (bins=50)
| Value | Count | Frequency (%) |
| 668000000 | 2 | 0.3% |
| 8.1457086 × 1011 | 1 | 0.1% |
| 4.5774573 × 1011 | 1 | 0.1% |
| 4.4423224 × 1011 | 1 | 0.1% |
| 4.6606424 × 1011 | 1 | 0.1% |
| 3.6338083 × 1011 | 1 | 0.1% |
| 3.2262498 × 1011 | 1 | 0.1% |
| 2.9819706 × 1011 | 1 | 0.1% |
| 2.896644 × 1011 | 1 | 0.1% |
| 2.7209448 × 1011 | 1 | 0.1% |
| Other values (481) | 481 | |
| (Missing) | 249 |
| Value | Count | Frequency (%) |
| -6.2044893 × 1010 | 1 | |
| 107203000 | 1 | |
| 116731000 | 1 | |
| 120451000 | 1 | |
| 120609000 | 1 | |
| 133620496 | 1 | |
| 135786000 | 1 | |
| 139464700 | 1 | |
| 141670700 | 1 | |
| 145196610 | 1 |
| Value | Count | Frequency (%) |
| 4.696315 × 1015 | 1 | |
| 4.163134 × 1015 | 1 | |
| 3.543103 × 1015 | 1 | |
| 3.073334 × 1015 | 1 | |
| 2.6019672 × 1015 | 1 | |
| 2.3066133 × 1015 | 1 | |
| 2.2032699 × 1015 | 1 | |
| 1.9871139 × 1015 | 1 | |
| 1.9656771 × 1015 | 1 | |
| 1.9648192 × 1015 | 1 |
bx_gsr_gnfs_cd
Real number (ℝ≥0)
HIGH CORRELATIONHIGH CORRELATIONHIGH CORRELATIONHIGH CORRELATIONMISSING| Distinct | 606 |
|---|---|
| Distinct (%) | 100.0% |
| Missing | 135 |
| Missing (%) | 18.2% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 1.218970969 × 1011 |
| Minimum | 1274564.4 |
|---|---|
| Maximum | 2.6510096 × 1012 |
| Zeros | 0 |
| Zeros (%) | 0.0% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 5.9 KiB |
Quantile statistics
| Minimum | 1274564.4 |
|---|---|
| 5-th percentile | 27674469.5 |
| Q1 | 545300782.5 |
| median | 4912909350 |
| Q3 | 8.168208125 × 1010 |
| 95-th percentile | 6.00048105 × 1011 |
| Maximum | 2.6510096 × 1012 |
| Range | 2.651008325 × 1012 |
| Interquartile range (IQR) | 8.113678047 × 1010 |
Descriptive statistics
| Standard deviation | 3.228903774 × 1011 |
|---|---|
| Coefficient of variation (CV) | 2.648876681 |
| Kurtosis | 29.80134759 |
| Mean | 1.218970969 × 1011 |
| Median Absolute Deviation (MAD) | 4843201055 |
| Skewness | 5.008029469 |
| Sum | 7.386964072 × 1013 |
| Variance | 1.042581958 × 1023 |
| Monotonicity | Not monotonic |
Histogram with fixed size bins (bins=50)
| Value | Count | Frequency (%) |
| 8.664591 × 1010 | 1 | 0.1% |
| 82706510 | 1 | 0.1% |
| 80161130 | 1 | 0.1% |
| 87692410 | 1 | 0.1% |
| 99572360 | 1 | 0.1% |
| 92533240 | 1 | 0.1% |
| 95664136 | 1 | 0.1% |
| 114735560 | 1 | 0.1% |
| 131632016 | 1 | 0.1% |
| 139228210 | 1 | 0.1% |
| Other values (596) | 596 | |
| (Missing) | 135 | 18.2% |
| Value | Count | Frequency (%) |
| 1274564.4 | 1 | |
| 1635078.9 | 1 | |
| 2015177.8 | 1 | |
| 2627019 | 1 | |
| 2715979 | 1 | |
| 3015215.2 | 1 | |
| 3266386.2 | 1 | |
| 4060750.8 | 1 | |
| 5513224.5 | 1 | |
| 5715816.5 | 1 |
| Value | Count | Frequency (%) |
| 2.6510096 × 1012 | 1 | |
| 2.462902 × 1012 | 1 | |
| 2.4292774 × 1012 | 1 | |
| 2.3601524 × 1012 | 1 | |
| 2.3555948 × 1012 | 1 | |
| 2.1979225 × 1012 | 1 | |
| 2.175092 × 1012 | 1 | |
| 2.0088525 × 1012 | 1 | |
| 1.6564117 × 1012 | 1 | |
| 1.4978688 × 1012 | 1 |
ny_gdp_mktp_cd
Real number (ℝ≥0)
HIGH CORRELATIONHIGH CORRELATIONHIGH CORRELATIONHIGH CORRELATIONMISSING| Distinct | 698 |
|---|---|
| Distinct (%) | 100.0% |
| Missing | 43 |
| Missing (%) | 5.8% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 3.494643272 × 1011 |
| Minimum | 13196545 |
|---|---|
| Maximum | 1.3894818 × 1013 |
| Zeros | 0 |
| Zeros (%) | 0.0% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 5.9 KiB |
Quantile statistics
| Minimum | 13196545 |
|---|---|
| 5-th percentile | 141444830 |
| Q1 | 676880960 |
| median | 7160627700 |
| Q3 | 1.41535435 × 1011 |
| 95-th percentile | 1.48668721 × 1012 |
| Maximum | 1.3894818 × 1013 |
| Range | 1.38948048 × 1013 |
| Interquartile range (IQR) | 1.40858554 × 1011 |
Descriptive statistics
| Standard deviation | 1.332833329 × 1012 |
|---|---|
| Coefficient of variation (CV) | 3.813932426 |
| Kurtosis | 49.50097942 |
| Mean | 3.494643272 × 1011 |
| Median Absolute Deviation (MAD) | 6976300350 |
| Skewness | 6.62556601 |
| Sum | 2.439261004 × 1014 |
| Variance | 1.776444684 × 1024 |
| Monotonicity | Not monotonic |
Histogram with fixed size bins (bins=50)
| Value | Count | Frequency (%) |
| 3.3111525 × 1010 | 1 | 0.1% |
| 1.6002656 × 1010 | 1 | 0.1% |
| 2.162171 × 1010 | 1 | 0.1% |
| 2.1703107 × 1010 | 1 | 0.1% |
| 2.2162209 × 1010 | 1 | 0.1% |
| 2.2731604 × 1010 | 1 | 0.1% |
| 2.4360796 × 1010 | 1 | 0.1% |
| 2.4524098 × 1010 | 1 | 0.1% |
| 2.897159 × 1010 | 1 | 0.1% |
| 8.36697 × 1010 | 1 | 0.1% |
| Other values (688) | 688 | |
| (Missing) | 43 | 5.8% |
| Value | Count | Frequency (%) |
| 13196545 | 1 | |
| 13742057 | 1 | |
| 15450994 | 1 | |
| 18231078 | 1 | |
| 21534932 | 1 | |
| 21839098 | 1 | |
| 22902862 | 1 | |
| 27030374 | 1 | |
| 27101076 | 1 | |
| 30290220 | 1 |
| Value | Count | Frequency (%) |
| 1.3894818 × 1013 | 1 | |
| 1.2310409 × 1013 | 1 | |
| 1.1233276 × 1013 | 1 | |
| 1.1061553 × 1013 | 1 | |
| 1.0475683 × 1013 | 1 | |
| 9.570407 × 1012 | 1 | |
| 8.53223 × 1012 | 1 | |
| 7.899426 × 1012 | 1 | |
| 7.5515 × 1012 | 1 | |
| 6.5724985 × 1012 | 1 |
| Distinct | 640 |
|---|---|
| Distinct (%) | 99.1% |
| Missing | 95 |
| Missing (%) | 12.8% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 35.11513591 |
| Minimum | 0.283 |
|---|---|
| Maximum | 112.9564 |
| Zeros | 0 |
| Zeros (%) | 0.0% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 5.9 KiB |
Quantile statistics
| Minimum | 0.283 |
|---|---|
| 5-th percentile | 2.08495 |
| Q1 | 15.2069 |
| median | 31.5562 |
| Q3 | 51.27735 |
| 95-th percentile | 78.579 |
| Maximum | 112.9564 |
| Range | 112.6734 |
| Interquartile range (IQR) | 36.07045 |
Descriptive statistics
| Standard deviation | 24.68762142 |
|---|---|
| Coefficient of variation (CV) | 0.7030478674 |
| Kurtosis | -0.1061679714 |
| Mean | 35.11513591 |
| Median Absolute Deviation (MAD) | 18.2223 |
| Skewness | 0.6087423792 |
| Sum | 22684.3778 |
| Variance | 609.4786513 |
| Monotonicity | Not monotonic |
Histogram with fixed size bins (bins=50)
| Value | Count | Frequency (%) |
| 78.003 | 6 | 0.8% |
| 24.759 | 2 | 0.3% |
| 56.7396 | 1 | 0.1% |
| 54.298 | 1 | 0.1% |
| 54.44 | 1 | 0.1% |
| 54.582 | 1 | 0.1% |
| 55.1214 | 1 | 0.1% |
| 55.6608 | 1 | 0.1% |
| 56.2002 | 1 | 0.1% |
| 57.279 | 1 | 0.1% |
| Other values (630) | 630 | |
| (Missing) | 95 | 12.8% |
| Value | Count | Frequency (%) |
| 0.283 | 1 | |
| 0.286 | 1 | |
| 0.2882 | 1 | |
| 0.2934 | 1 | |
| 0.2986 | 1 | |
| 0.3038 | 1 | |
| 0.309 | 1 | |
| 0.372 | 1 | |
| 0.435 | 1 | |
| 0.498 | 1 |
| Value | Count | Frequency (%) |
| 112.9564 | 1 | |
| 112.2538 | 1 | |
| 109.1354 | 1 | |
| 108.9132 | 1 | |
| 106.017 | 1 | |
| 104.87 | 1 | |
| 103.6338 | 1 | |
| 101.6756 | 1 | |
| 101.2506 | 1 | |
| 98.8674 | 1 |
| Distinct | 33 |
|---|---|
| Distinct (%) | 97.1% |
| Missing | 707 |
| Missing (%) | 95.4% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 16.3464455 |
| Minimum | 1.7 |
|---|---|
| Maximum | 52.3 |
| Zeros | 0 |
| Zeros (%) | 0.0% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 5.9 KiB |
Quantile statistics
| Minimum | 1.7 |
|---|---|
| 5-th percentile | 3.28 |
| Q1 | 8.683533 |
| median | 13.128205 |
| Q3 | 18.334626 |
| 95-th percentile | 44.9528685 |
| Maximum | 52.3 |
| Range | 50.6 |
| Interquartile range (IQR) | 9.651093 |
Descriptive statistics
| Standard deviation | 12.93549114 |
|---|---|
| Coefficient of variation (CV) | 0.7913335739 |
| Kurtosis | 1.813258502 |
| Mean | 16.3464455 |
| Median Absolute Deviation (MAD) | 5 |
| Skewness | 1.547009099 |
| Sum | 555.779147 |
| Variance | 167.326931 |
| Monotonicity | Not monotonic |
Histogram with fixed size bins (bins=33)
| Value | Count | Frequency (%) |
| 15.1 | 2 | 0.3% |
| 42.82749 | 1 | 0.1% |
| 22.02146 | 1 | 0.1% |
| 12.4 | 1 | 0.1% |
| 10.1 | 1 | 0.1% |
| 16 | 1 | 0.1% |
| 14.699067 | 1 | 0.1% |
| 40.6 | 1 | 0.1% |
| 13.25641 | 1 | 0.1% |
| 17.538504 | 1 | 0.1% |
| Other values (23) | 23 | 3.1% |
| (Missing) | 707 |
| Value | Count | Frequency (%) |
| 1.7 | 1 | |
| 2.5 | 1 | |
| 3.7 | 1 | |
| 4.2 | 1 | |
| 5.002084 | 1 | |
| 5.2 | 1 | |
| 6.6 | 1 | |
| 7.6 | 1 | |
| 8.6 | 1 | |
| 8.934132 | 1 |
| Value | Count | Frequency (%) |
| 52.3 | 1 | |
| 48.9 | 1 | |
| 42.82749 | 1 | |
| 40.6 | 1 | |
| 34.5 | 1 | |
| 22.02146 | 1 | |
| 21.3 | 1 | |
| 19.9 | 1 | |
| 18.6 | 1 | |
| 17.538504 | 1 |
sp_dyn_le00_fe_in
Real number (ℝ≥0)
HIGH CORRELATIONHIGH CORRELATIONHIGH CORRELATIONHIGH CORRELATIONMISSING| Distinct | 616 |
|---|---|
| Distinct (%) | 94.9% |
| Missing | 92 |
| Missing (%) | 12.4% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 73.49832203 |
| Minimum | 60.608 |
|---|---|
| Maximum | 87.7 |
| Zeros | 0 |
| Zeros (%) | 0.0% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 5.9 KiB |
Quantile statistics
| Minimum | 60.608 |
|---|---|
| 5-th percentile | 63.727 |
| Q1 | 68.807 |
| median | 72.816 |
| Q3 | 78.301 |
| 95-th percentile | 84.92 |
| Maximum | 87.7 |
| Range | 27.092 |
| Interquartile range (IQR) | 9.494 |
Descriptive statistics
| Standard deviation | 6.242847333 |
|---|---|
| Coefficient of variation (CV) | 0.08493863752 |
| Kurtosis | -0.6263126263 |
| Mean | 73.49832203 |
| Median Absolute Deviation (MAD) | 4.627 |
| Skewness | 0.225662617 |
| Sum | 47700.411 |
| Variance | 38.97314283 |
| Monotonicity | Not monotonic |
Histogram with fixed size bins (bins=50)
| Value | Count | Frequency (%) |
| 80.2 | 4 | 0.5% |
| 85.4 | 3 | 0.4% |
| 85.5 | 3 | 0.4% |
| 80.1 | 3 | 0.4% |
| 84.6 | 3 | 0.4% |
| 69.043 | 2 | 0.3% |
| 86.7 | 2 | 0.3% |
| 84.8 | 2 | 0.3% |
| 84.5 | 2 | 0.3% |
| 68.609 | 2 | 0.3% |
| Other values (606) | 623 | |
| (Missing) | 92 | 12.4% |
| Value | Count | Frequency (%) |
| 60.608 | 1 | |
| 60.615 | 1 | |
| 60.624 | 1 | |
| 60.715 | 1 | |
| 60.91 | 1 | |
| 61.116 | 1 | |
| 61.124 | 1 | |
| 61.195 | 1 | |
| 61.362 | 1 | |
| 61.525 | 1 |
| Value | Count | Frequency (%) |
| 87.7 | 1 | |
| 87.6 | 1 | |
| 87.3 | 2 | |
| 87.051 | 1 | |
| 86.92 | 1 | |
| 86.9 | 1 | |
| 86.781 | 1 | |
| 86.7 | 2 | |
| 86.631 | 1 | |
| 86.461 | 1 |
sp_dyn_le00_ma_in
Real number (ℝ≥0)
HIGH CORRELATIONHIGH CORRELATIONHIGH CORRELATIONHIGH CORRELATIONMISSING| Distinct | 614 |
|---|---|
| Distinct (%) | 94.6% |
| Missing | 92 |
| Missing (%) | 12.4% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 68.85560247 |
| Minimum | 56.186 |
|---|---|
| Maximum | 82.3 |
| Zeros | 0 |
| Zeros (%) | 0.0% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 5.9 KiB |
Quantile statistics
| Minimum | 56.186 |
|---|---|
| 5-th percentile | 60.0948 |
| Q1 | 65.002 |
| median | 68.361 |
| Q3 | 72.9 |
| 95-th percentile | 79.36 |
| Maximum | 82.3 |
| Range | 26.114 |
| Interquartile range (IQR) | 7.898 |
Descriptive statistics
| Standard deviation | 5.636979806 |
|---|---|
| Coefficient of variation (CV) | 0.08186668338 |
| Kurtosis | -0.5074160376 |
| Mean | 68.85560247 |
| Median Absolute Deviation (MAD) | 3.873 |
| Skewness | 0.2152042343 |
| Sum | 44687.286 |
| Variance | 31.77554134 |
| Monotonicity | Not monotonic |
Histogram with fixed size bins (bins=50)
| Value | Count | Frequency (%) |
| 74.2 | 3 | 0.4% |
| 72.1 | 3 | 0.4% |
| 79.4 | 3 | 0.4% |
| 78.5 | 2 | 0.3% |
| 80.3 | 2 | 0.3% |
| 80.1 | 2 | 0.3% |
| 79.8 | 2 | 0.3% |
| 73.9 | 2 | 0.3% |
| 79 | 2 | 0.3% |
| 78.4 | 2 | 0.3% |
| Other values (604) | 626 | |
| (Missing) | 92 | 12.4% |
| Value | Count | Frequency (%) |
| 56.186 | 1 | |
| 57.001 | 1 | |
| 57.044 | 1 | |
| 57.078 | 1 | |
| 57.362 | 1 | |
| 57.46 | 1 | |
| 57.557 | 1 | |
| 57.656 | 1 | |
| 57.923 | 1 | |
| 57.926 | 1 |
| Value | Count | Frequency (%) |
| 82.3 | 1 | |
| 81.9 | 1 | |
| 81.4 | 1 | |
| 81.3 | 1 | |
| 81.2 | 2 | |
| 81.149 | 1 | |
| 81.1 | 1 | |
| 81.013 | 1 | |
| 80.9 | 1 | |
| 80.871 | 1 |
Spearman's ρ
The Spearman's rank correlation coefficient (ρ) is a measure of monotonic correlation between two variables, and is therefore better in catching nonlinear monotonic correlations than Pearson's r. It's value lies between -1 and +1, -1 indicating total negative monotonic correlation, 0 indicating no monotonic correlation and 1 indicating total positive monotonic correlation.To calculate ρ for two variables X and Y, one divides the covariance of the rank variables of X and Y by the product of their standard deviations.
Pearson's r
The Pearson's correlation coefficient (r) is a measure of linear correlation between two variables. It's value lies between -1 and +1, -1 indicating total negative linear correlation, 0 indicating no linear correlation and 1 indicating total positive linear correlation. Furthermore, r is invariant under separate changes in location and scale of the two variables, implying that for a linear function the angle to the x-axis does not affect r.To calculate r for two variables X and Y, one divides the covariance of X and Y by the product of their standard deviations.
Kendall's τ
Similarly to Spearman's rank correlation coefficient, the Kendall rank correlation coefficient (τ) measures ordinal association between two variables. It's value lies between -1 and +1, -1 indicating total negative correlation, 0 indicating no correlation and 1 indicating total positive correlation.To calculate τ for two variables X and Y, one determines the number of concordant and discordant pairs of observations. τ is given by the number of concordant pairs minus the discordant pairs divided by the total number of pairs.
Phik (φk)
Phik (φk) is a new and practical correlation coefficient that works consistently between categorical, ordinal and interval variables, captures non-linear dependency and reverts to the Pearson correlation coefficient in case of a bivariate normal input distribution. There is extensive documentation available here. A simple visualization of nullity by column.
Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.
The correlation heatmap measures nullity correlation: how strongly the presence or absence of one variable affects the presence of another.
The dendrogram allows you to more fully correlate variable completion, revealing trends deeper than the pairwise ones visible in the correlation heatmap.
First rows
| economy | time | si_pov_gini | ne_imp_gnfs_kn | bx_gsr_gnfs_cd | ny_gdp_mktp_cd | sp_ado_tfrt | sl_tlf_0714_zs | sp_dyn_le00_fe_in | sp_dyn_le00_ma_in | |
|---|---|---|---|---|---|---|---|---|---|---|
| 0 | ASM | 2000 | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN |
| 1 | ASM | 2001 | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN |
| 2 | ASM | 2002 | NaN | 1.053000e+09 | NaN | 512000000.0 | NaN | NaN | NaN | NaN |
| 3 | ASM | 2003 | NaN | 1.046000e+09 | NaN | 524000000.0 | NaN | NaN | NaN | NaN |
| 4 | ASM | 2004 | NaN | 9.110000e+08 | NaN | 509000000.0 | NaN | NaN | NaN | NaN |
| 5 | ASM | 2005 | NaN | 9.120000e+08 | NaN | 500000000.0 | NaN | NaN | NaN | NaN |
| 6 | ASM | 2006 | NaN | 8.780000e+08 | NaN | 493000000.0 | NaN | NaN | NaN | NaN |
| 7 | ASM | 2007 | NaN | 8.450000e+08 | NaN | 518000000.0 | NaN | NaN | NaN | NaN |
| 8 | ASM | 2008 | NaN | 8.630000e+08 | NaN | 560000000.0 | NaN | NaN | NaN | NaN |
| 9 | ASM | 2009 | NaN | 7.510000e+08 | NaN | 675000000.0 | NaN | NaN | NaN | NaN |
Last rows
| economy | time | si_pov_gini | ne_imp_gnfs_kn | bx_gsr_gnfs_cd | ny_gdp_mktp_cd | sp_ado_tfrt | sl_tlf_0714_zs | sp_dyn_le00_fe_in | sp_dyn_le00_ma_in | |
|---|---|---|---|---|---|---|---|---|---|---|
| 731 | WSM | 2009 | NaN | NaN | 173604990.0 | 584706050.0 | 30.3048 | NaN | 73.819 | 69.231 |
| 732 | WSM | 2010 | NaN | NaN | 204231280.0 | 663155970.0 | 29.6202 | NaN | 74.030 | 69.510 |
| 733 | WSM | 2011 | NaN | NaN | 208397680.0 | 737147970.0 | 28.9356 | NaN | 74.233 | 69.782 |
| 734 | WSM | 2012 | NaN | NaN | 222169070.0 | 760319300.0 | 28.2510 | NaN | 74.424 | 70.043 |
| 735 | WSM | 2013 | 38.7 | NaN | 230141460.0 | 770059500.0 | 27.3780 | NaN | 74.600 | 70.286 |
| 736 | WSM | 2014 | NaN | NaN | 225924770.0 | 756805950.0 | 26.5050 | NaN | 74.762 | 70.511 |
| 737 | WSM | 2015 | NaN | NaN | 231414420.0 | 787958600.0 | 25.6320 | NaN | 74.911 | 70.715 |
| 738 | WSM | 2016 | NaN | NaN | 248249700.0 | 799493900.0 | 24.7590 | NaN | 75.052 | 70.895 |
| 739 | WSM | 2017 | NaN | NaN | 278392000.0 | 832025600.0 | 23.8860 | NaN | 75.189 | 71.055 |
| 740 | WSM | 2018 | NaN | NaN | 301045380.0 | 821286900.0 | 23.2952 | NaN | 75.325 | 71.197 |